CN110717448A - Dining room kitchen intelligent management system - Google Patents
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Abstract
Description
Technical Field
The invention relates to the technical field of canteen management, in particular to an intelligent management system for a kitchen of a canteen.
Background
The dining room is used for providing dining service for a large number of people, the dining people pay special attention to the sanitation and safety of the dining room, but the place for processing and storing food at the kitchen of the dining room is difficult to open to the outside due to the sanitation, safety and production conditions. Therefore, the mode of a sunshine kitchen is also presented in the market at present, and real-time videos of the kitchen are collected through video equipment and are watched by relevant supervisors and diners. In addition, for the safety problem of the canteen, the current scheme starts with the digital management of certificates of food material purchase tickets, canteen employee health certificates, business licenses and the like, or records warehousing, sample reservation and use flows of food materials after the food materials are marked by two-dimensional codes, and the scheme also monitors whether the police condition occurs in real time by installing sensor modules such as water immersion, door magnets, smoke, human body movement monitoring and the like in the canteen.
With the rapid development of computer artificial intelligence algorithm technology, the current object recognition technology and face recognition technology are relatively mature, after the computer is specially trained, the trained target object and position can be extracted from the picture data, and the face in the picture can be recognized and compared.
In the existing sunshine kitchen mode, a person needs to watch videos in real time and manually judge whether violation behaviors exist or not, extra manpower is needed, the problems that a supervisor cannot observe carefully and the like exist, and the existing sunshine kitchen mode is not intelligent enough;
the existing certificate digital management method can only supervise the business qualification, the qualification of a practitioner, the food material delivery channel and the like, and is difficult to actually manage and supervise the behaviors and the sanitary safety conditions of kitchen staff;
the existing canteen sensor monitoring scheme can only find out the alarm conditions such as water leakage, air leakage, fire and the like in real time, but can not identify the more common problems such as violation of behaviors of kitchen staff, sanitation of the environment and the like.
Disclosure of Invention
The invention aims to: in order to solve the problem of manual monitoring, the intelligent management system for the kitchen of the dining room can perform all-around, uninterrupted analysis on multiple articles and personnel, judge whether a violation in the aspects of safety and sanitation occurs, and report and analyze and count the violation.
In order to achieve the purpose, the invention adopts the following technical scheme: an intelligent management system for a dining room kitchen comprises an intelligent kitchen analysis module, and a configuration module, an image acquisition module and an alarm module which are connected with the intelligent kitchen analysis module, wherein the configuration module is used for personnel, equipment, attendance checking and violation configuration and information interaction with the intelligent kitchen analysis module; the configuration module, the image acquisition module and the alarm module are deployed in a local computer and perform information interaction with the local intelligent analysis module through a local area network or perform information interaction with the cloud intelligent analysis module through the Internet; and the front-end camera carries out information interaction with the image acquisition module through a local area network.
The intelligent kitchen analysis module is used for alarming of the on-duty condition and strangers of working time, wearing of physical appearances of people, cutter position, cleaning tool position, ground sewage, working table neatness, equipment use compliance, classified storage of food materials, classified placement of food materials, sample retention analysis of food materials, alarming of the strangers of non-working time, cutter homing, tableware homing, kitchen ware homing, cleaning tool homing, equipment closing, door and window closing, no open fire, clean equipment, no sundries on the working table, no garbage accumulated water on the ground and no oil pollution analysis on the wall surface.
The configuration module includes a front-end web configuration page, a back-end configuration service, and a storage database that interacts with the configuration service.
The alarm module comprises a front-end web alarm display and query page, a rear-end alarm service and a storage database interacting with the alarm service.
The front-end camera comprises a dome camera, a gunlock and other network cameras.
The intelligent kitchen analysis module judges the violation in the image according to whether the current time is in the working time or the non-working time, and the specific judgment content refers to the working time period analysis content and the non-working time period analysis content in the intelligent kitchen analysis module. And when the intelligent kitchen analysis module identifies that the violation behaviors exist in the picture, sending the violation type, the violation time and the violation picture to the alarm module.
The on duty situation of personnel in the intelligent analysis module and stranger alarm analysis are analyzed and compared through an open source Opencv self-contained LBPH face recognition algorithm; other analysis content in the analysis module is trained and identified through the open source target detection network YOLOv 3.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that: according to the invention, the collected real-time video images are analyzed, real-time monitoring is carried out on the kitchen behind a canteen, strangers appear in working hours when workers are left unattended, struggled and off duty and the like, the workers don't wear chef clothes and chef caps according to regulations, the workers leave beards, hair growing and smoking, cutters appear in positions outside a cutter placing area and a dish distribution area, cleaning tools appear in positions outside the cleaning tool placing area, water stains and oil stains exist on the ground, sundries exist on a workbench, the equipment is not used in compliance, food materials are not stored in a classified mode, the food materials are not placed in a classified mode, and the food materials are not sampled in time; in the non-working time, when strangers, the cutters are not returned, the tableware is not returned, the kitchenware is not returned, the cleaning tools are not returned, the equipment is not closed, the doors and the windows are not closed, open fire exists, the equipment is not cleaned up, sundries exist on a workbench, garbage accumulated water exists on the ground, oil stains exist on the wall surface and the like, the intelligent analysis service of the kitchen can quickly and accurately identify illegal behaviors, and the alarming module is used for alarming and displaying. Thereby playing a real-time supervision role on the safety and sanitation of the kitchen in the canteen. And the violation types are classified and counted, so that the behaviors which are easy to violate can be effectively identified, and the kitchen staff can be helped to prompt and correct.
Drawings
Fig. 1 is a schematic diagram of a local analysis service structure of an intelligent management system for a kitchen in a canteen according to the present invention;
FIG. 2 is a schematic structural diagram of a configuration module of an intelligent management system for a kitchen of a canteen according to the present invention;
FIG. 3 is a schematic structural diagram of an alarm module of the intelligent management system for the kitchen of a canteen;
FIG. 4 is a schematic diagram of an overall structure of an intelligent management system for a kitchen of a dining room according to the present invention;
fig. 5 is a schematic view of a working flow of the intelligent management system for a kitchen in a canteen according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution: an intelligent management system for a dining room kitchen comprises an intelligent kitchen analysis module, and a configuration module, an image acquisition module and an alarm module which are connected with the intelligent kitchen analysis module;
the configuration module comprises personnel configuration, equipment configuration, attendance configuration and violation configuration. The personnel configuration is used for staff management, including face input and health certificate information setting; the equipment configuration is used for configuration and access of a front-end camera; the attendance configuration is used for setting working time periods and non-working time periods and setting personnel information specifically scheduled to be on duty; the illegal configuration is used for configuring the positions of areas such as a dish washing area, a dish distribution area, a seasoning area, a finished product area, a cutter placing area, a cleaning tool placing area and the like in a video picture and setting the types of enabled and disabled illegal behaviors.
The image acquisition module is used for acquiring pictures from the front-end camera in real time.
The intelligent kitchen analysis module comprises an operating time period analysis module and a non-operating time period analysis module.
The working time period analysis content comprises personnel on duty condition, stranger alarm, personnel appearance wearing, cutter position, cleaning tool position, ground sewage, workbench tidiness, equipment use compliance, food classification storage, food classification placement and food sample reservation. The on-duty condition of the staff is used for analyzing whether the staff is on duty or not, and whether the staff is off duty, on-duty, off-duty and the like exist or not; stranger alarm is used for analyzing whether non-working personnel enter a kitchen during working hours; the person body shape wearing is used for analyzing whether a worker wears chef clothes and chef caps according to the regulations, whether mustache or hair is left or not and whether smoking behavior exists or not; the cutter position is used for analyzing whether the cutter is in a position outside the cutter placing area and the dish matching area; the cleaning tool position is used for analyzing whether the cleaning tool appears at a position outside the cleaning tool placing area for a long time; the ground sewage is used for analyzing whether water stains and oil stains exist on the ground or not; the working table is used for neatening and analyzing whether sundries exist on the working table or not; the equipment use compliance is used for analyzing whether equipment such as a freezer, a refrigerator, a steam cabinet and the like is closed in time; the food materials are classified and stored, whether the food materials are cooked and stored separately or not is analyzed through different dishes, vegetable baskets and packaging boxes, and whether the food materials are stored in a corresponding freezer or a corresponding refrigerator or not is analyzed; the food material classification and placement are analyzed through different dishes, vegetable baskets and packaging boxes whether the food materials are placed reasonably or not, and whether finished products, semi-finished products and raw materials are placed separately or not; food material sample keeping is carried out by taking a picture of the food material sample keeping area at regular time, recording and analyzing whether the food material sample is kept according to the regulations.
The content of analysis in the non-working time period comprises stranger alarm, cutter homing, tableware homing, kitchen ware homing, cleaning tool homing, equipment closing, door and window closing, no open fire, clean equipment cleaning, no sundries on a workbench, no garbage accumulated water on the ground and no oil stain on the wall surface. Wherein stranger alarm is used for analyzing whether a person enters a kitchen in non-working time; the tool homing is used for analyzing whether the tool is in a position outside the tool placing area; the tableware homing is used for analyzing whether the tableware appears at the position outside the tableware placing area; the kitchen ware homing is used for analyzing whether the kitchen ware appears at a position outside the kitchen ware placing area and whether the kitchen ware with covers, such as cookware, seasoning boxes and the like, is covered with the covers; the cleaning tool is reset to analyze whether the cleaning tool is in a position outside the cleaning tool placing area; the equipment closing is used for analyzing whether equipment such as a freezer, a refrigerator, a steam cabinet and the like is closed or not and whether a water tap is closed or not; the door and window closing is used for analyzing whether the door and window is closed in time; the absence of open fire is used for analyzing whether the fire is not closed or the fire occurs; the equipment is cleaned and used for analyzing whether the instruments such as a meat grinder, a slicer, a bone sawing machine and the like are cleaned, so that the instrument is bright, free of rust, oil, dirt and water; the workbench is free of impurities and used for analyzing whether the workbench is neat or free of impurities; the method is characterized in that the accumulated water on the ground is used for analyzing whether the ground is free from accumulated water or not, whether a cover is covered on the garbage can or not and whether the garbage is scattered around the garbage can or not; the wall surface is free of oil stains and is used for analyzing whether the wall surface is clean and free of oil stains.
The alarm module comprises real-time reporting, violation confirmation, analysis statistics and historical query. Reporting the violation behaviors defined in the configuration module and identified by the intelligent analysis module in real time; the violation confirmation is used for confirming or canceling the generated violation alarm in the later period and correcting the false alarm behavior; the analysis statistics is used for carrying out classification statistics on the violation behaviors on the current day and the near 7 days and sorting according to the number of the violation behaviors; historical queries are used to query for violations on a specified date.
In this embodiment, the on duty situation and stranger alarm analysis of the personnel in the intelligent analysis module are analyzed and compared through an open source Opencv own LBPH face recognition algorithm; other analysis content in the analysis module is trained and identified through the open source target detection network YOLOv 3.
In this embodiment, the intelligent analysis module is deployed in a local computer or a cloud server;
in this embodiment, the configuration module, the image acquisition module and the alarm module are deployed in a local computer, and perform information interaction with the local intelligent analysis module through a local area network, or perform information interaction with the cloud intelligent analysis module through the internet;
in this embodiment, the front-end camera performs information interaction with the image acquisition module through a local area network;
in this embodiment, the configuration module includes a front-end web configuration page, a back-end configuration service, and a storage database interacting with the configuration service;
in this embodiment, the alarm module includes a front-end web alarm display and query page, a back-end alarm service, and a storage database interacting with the alarm service;
in this embodiment, the front-end camera includes a webcam such as a dome camera or a gun camera.
The working principle is as follows: during the use, when using this dining room kitchen management system, the staff need earlier dispose the page through the web of configuration module, with personnel's head portrait on duty, the time of duty of every day input the system, will gather image data's front end camera and add to this system to shoot in the region like washing dish district, joining in marriage dish district, condiment district, finished product district, cutter to every camera and put the district and carry out the area division.
After the configuration work is finished, the image acquisition module acquires image data from the configured front-end camera in real time and sends the image to the intelligent kitchen analysis module through a network.
The intelligent kitchen analysis module judges the violation in the image according to whether the current time is in the working time or the non-working time, and the specific judgment content refers to the working time period analysis content and the non-working time period analysis content in the intelligent kitchen analysis module. And when the intelligent kitchen analysis module identifies that the violation behaviors exist in the picture, sending the violation type, the violation time and the violation picture to the alarm module.
And after receiving the alarm information, the alarm module notifies the front-end web alarm display and query page of the information in real time, and carries out real-time classification statistics on the current day and the near 7 day violation behaviors. The staff can check the alarm data in real time through the front-end web alarm page, check violation history and violation statistical data, and confirm and cancel the violation.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. An intelligent management system for a dining room kitchen is characterized by comprising an intelligent kitchen analysis module, and a configuration module, an image acquisition module and an alarm module which are connected with the intelligent kitchen analysis module, wherein the configuration module is used for personnel, equipment, attendance checking and violation configuration and carrying out information interaction with the intelligent kitchen analysis module; the configuration module, the image acquisition module and the alarm module are deployed in a local computer and perform information interaction with the local intelligent analysis module through a local area network or perform information interaction with the cloud intelligent analysis module through the Internet; and the front-end camera carries out information interaction with the image acquisition module through a local area network.
2. The system for intelligently managing the kitchen of a dining room as claimed in claim 1, wherein the intelligent kitchen analysis module is used for on-duty personnel, stranger alarm, personnel physical and appearance wearing, cutter position, cleaning tool position, ground sewage, workbench cleanliness, equipment use compliance, food material classification storage, food material classification placement, food material sample retention analysis, and non-on-duty stranger alarm, cutter homing, tableware homing, kitchen ware homing, cleaning tool homing, equipment closing, door and window closing, no open fire, equipment cleaning, no sundries on a workbench, no garbage water on the ground and no oil and dirt on the wall surface analysis.
3. The canteen cook intelligent management system of claim 1, wherein said configuration module comprises a front-end web configuration page, a back-end configuration service, and a storage database that interacts with the configuration service.
4. The canteen cook intelligent management system of claim 1, wherein said alarm module comprises a front end web alarm display and query page, a back end alarm service, and a stored database that interacts with alarm services.
5. The intelligent management system for the kitchen in the canteen according to claim 1, wherein the front-end camera comprises a webcam such as a dome camera and a gunlock.
6. The canteen kitchen intelligent management system according to claim 1, wherein the kitchen intelligent analysis module judges an illegal action in the image according to whether the current time is in working time or non-working time, and sends an illegal type, an illegal time and an illegal picture to the alarm module when the kitchen intelligent analysis module identifies that the illegal action exists in the picture.
7. The canteen kitchen intelligent management system according to claim 1, wherein personnel on duty situations and stranger alarm analysis in the intelligent analysis module are analyzed and compared through an open source Opencv self-contained LBPH face recognition algorithm; other analysis content in the analysis module is trained and identified through the open source target detection network YOLOv 3.
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